Implementation of paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate'. Treats different instances of same language models as 'multiagent society' where individual instances generate and critique each other's outputs. Final answers after this procedure show improved factual accuracy and better reasoning question solving. Demonstrates quantitative improvements in multiple domains of reasoning and factual validity.